The objective measurement of fatigue is of critical relevance in areas such as occupational
health and safety as fatigue impairs cognitive and motor performance, thus reducing …

Electroencephalography-based sleepiness detection system (ESDS) is a brain-computer
interface that evaluates a driver's sleepiness level directly from cerebral activity. The goals of …

Statistics have shown that many accidents occur due to drowsy condition of drivers. In a
study conducted by National Sleep Foundation, it has been found that about 20% of drivers …

Not just detecting but also predicting impairment of a car driver's operational state is a
challenge. This study aims to determine whether the standard sources of information used to …

Drunkenness or exhaustion is a leading cause of car accidents, with severe implications for
road safety. More fatal accidents could be avoided if fatigued drivers were warned ahead of …

Drowsiness is responsible for many fatal accidents on highways. Accuracy and performance
are key metrics related to many researched techniques for the detection of drivers' …

It is only a matter of time until autonomous vehicles become ubiquitous; however, human
driving supervision will remain a necessity for decades. To assess the driver's ability to take …

Drowsy driving imposes a high safety risk. Current systems often use driving behavior
parameters for driver drowsiness detection. The continuous driving automation reduces the …

IoT has become the largest network worldwide, of which smart wearables and intelligent
vehicles constitute essential parts. The integration of smart wearables and intelligent …

Internet of things (IoT) cloud-based applications deliver advanced solutions for smart cities
to decrease traffic accidents caused by driver fatigue while driving on the road …